https://github.com/leeper/reggie

Stata-like Regression Functionality for R
https://github.com/leeper/reggie

r regression stata work-in-progress

Last synced: about 2 months ago
JSON representation

Stata-like Regression Functionality for R

• Host: GitHub
• URL: https://github.com/leeper/reggie
• Owner: leeper
• License: other
• Created: 2018-01-23T10:36:19.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-04-02T21:58:19.000Z (over 6 years ago)
• Last Synced: 2024-07-28T10:32:03.694Z (about 2 months ago)
• Topics: r, regression, stata, work-in-progress
• Language: R
• Size: 249 KB
• Stars: 24
• Watchers: 4
• Forks: 3
• Open Issues: 6
• Metadata Files:
  • Readme: README.Rmd
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Stata-like Regression Functionality

This is a work-in-progress to explore how to design Stata-like regression modelling tools for R, namely those that allow plug-and-play variance-covariance estimation procedures and also to provide arguments to modelling functions in `data`-`formula` order (rather than the traditional `formula`-`data` order) thus enabling easy use in data analysis pipelines via `%>%`.

Contributions and feedback are welcome on [GitHub](https://github.com/leeper/reggie/issues).

## Code Examples

```{r opts, echo=FALSE}

options(width = 120)

knitr::opts_chunk$set(comment = "", warning = FALSE, message = FALSE, echo = TRUE, tidy = TRUE, size="small", fig.width = 10, fig.height = 10)

```

In addition to plug-and-play variance-covariance procedures, the `reg()` function also provides pretty print methods.

```{r load}

library("reggie")

# reg

reg(ChickWeight, weight ~ Time + Diet)

# reg

reg(ChickWeight, weight ~ Time + Diet, vcov_type = "const")

# reg, vce(robust)

reg(ChickWeight, weight ~ Time + Diet, vcov_type = "HC0")

# reg, vce(boot)

reg(ChickWeight, weight ~ Time + Diet, vcov_type = "boot")

# reg, vce(cluster Chick)

reg(ChickWeight, weight ~ Time + Diet, vcov_cluster = ~ Chick)

# bootstrap, cluster(Chick) reps(5000): reg

#reg(ChickWeight, weight ~ Time + Diet, vcov_cluster = ~ Chick, vcov_type = "boot")

# DOESN'T CURRENTLY WORK, BUT WHY?

# svy: reg

library("survey")

data(api)

dstrat <- svydesign(id=~1,strata=~stype, weights=~pw, data=apistrat, fpc=~fpc)

reg(dstrat, api00 ~ ell + meals + mobility)

```

The "model" object class contains the underlying model object as its `model` argument, and methods for various commonly used generic functions (`coef()`, `vcov()`, `plot()`, `terms()`, `predict()`) are provided that behave like those operations on a standard modelling object.

## Installation

[![CRAN](https://www.r-pkg.org/badges/version/reggie)](https://cran.r-project.org/package=reggie)

![Downloads](https://cranlogs.r-pkg.org/badges/reggie)

[![Travis Build Status](https://travis-ci.org/leeper/reggie.png?branch=master)](https://travis-ci.org/leeper/reggie)

[![Appveyor Build Status](https://ci.appveyor.com/api/projects/status/PROJECTNUMBER?svg=true)](https://ci.appveyor.com/project/leeper/reggie)

[![codecov.io](https://codecov.io/github/leeper/reggie/coverage.svg?branch=master)](https://codecov.io/github/leeper/reggie?branch=master)

This package is not yet on CRAN. To install the latest development version you can pull a potentially unstable version directly from GitHub:

```R

if (!require("remotes")) {

    install.packages("remotes")

}

remotes::install_github("leeper/reggie")

```